Triple
T2629691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clang |
E59601
|
entity |
| Predicate | diagnosticsStyle |
P42342
|
FINISHED |
| Object | machine-readable diagnostics |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: machine-readable diagnostics | Statement: [Clang, diagnosticsStyle, machine-readable diagnostics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: diagnosticsStyle Context triple: [Clang, diagnosticsStyle, machine-readable diagnostics]
-
A.
syntaxStyle
Indicates the stylistic or structural conventions used in the form or arrangement of an expression, statement, or code.
-
B.
diagnosticManual
Indicates that one entity serves as the diagnostic manual or classification system used to define, categorize, or code the other entity’s condition or diagnosis.
-
C.
structuralStyle
Indicates the architectural or design style that characterizes the structure or form of an entity.
-
D.
reporterStyle
Indicates that one entity presents information in the manner or stylistic approach characteristic of a reporter or journalistic reporting.
-
E.
stagingStyle
Indicates how an event, performance, or scene is arranged, presented, or visually organized in a given context.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ab4ac8596c8190b34997e73d9e991c |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abdb0e7b888190bfa5d2e33f00ec0f |
completed | March 7, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69abd810d7f481908e81c305772c4c14 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abdb0bf9b881908b239c1310c7bbf3 |
completed | March 7, 2026, 8 a.m. |
Created at: March 6, 2026, 9:50 p.m.